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Update app.py
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app.py
CHANGED
@@ -13,13 +13,11 @@ st.title('Can I Patent This?')
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st.write("This model is tuned with all patent applications submitted in Jan 2016 in [the Harvard USPTO patent dataset](https://github.com/suzgunmirac/hupd)")
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# prepopulate with a sample csv file that has one patent application
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dataframe = pd.read_csv('patent_application.csv')
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# drop decision column if it exists
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if 'decision' in dataframe.columns:
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dataframe.drop(['decision'], axis=1, inplace = True)
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# to upload a .csv file with one application
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uploaded_file = st.file_uploader("Choose a file")
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if uploaded_file is not None:
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@@ -37,6 +35,11 @@ if uploaded_file is not None:
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# Can be used wherever a "file-like" object is accepted:
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dataframe = pd.read_csv(uploaded_file)
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st.write(dataframe)
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tuple_of_choices = ('patent_number', 'title', 'background', 'summary', 'description')
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st.write("This model is tuned with all patent applications submitted in Jan 2016 in [the Harvard USPTO patent dataset](https://github.com/suzgunmirac/hupd)")
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st.write("You can upload a .csv file with a patent application to calculate the patentability score")
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# prepopulate with a sample csv file that has one patent application
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dataframe = pd.read_csv('patent_application.csv')
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# to upload a .csv file with one application
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uploaded_file = st.file_uploader("Choose a file")
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if uploaded_file is not None:
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# Can be used wherever a "file-like" object is accepted:
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dataframe = pd.read_csv(uploaded_file)
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# drop decision column if it exists
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if 'decision' in dataframe.columns:
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dataframe.drop(['decision'], axis=1, inplace = True)
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st.write(dataframe)
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tuple_of_choices = ('patent_number', 'title', 'background', 'summary', 'description')
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